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  1. Gunawan, E., Deo, P., Hidayat, T., Pandia, V., Iskandar, S., Yuni, P.S., et al.
    Medicine & Health, 2018;13(2):95-102.
    MyJurnal
    Lecturers are expected to cope with stress in their workplace in order to continue to be productive. The demand to fulfill targets will increase the incidence of occupational stress. The aim of the study was to determine the factors associated with occupational stress among state university lecturers in Bandung, Indonesia. The study was carried out on 354 state university lecturers in Bandung, who came to the research location during May 2017. It was conducted by means of a diagnostic survey with the use of the Self Reporting Questionnaire (SRQ), Spiritual Wellness Inventory-R (SWI-R), Social Readjustment Rating Scale (SRRS), Miller Smith lifestyle assessment inventory, and Occupational Stress Scale (OSC). A total of 330 respondents became our study subjects with response rate of 92.94%. A correlation bivariate was applied to analyse the correlation of external and internal factors with occupational stress. The statistical analysis was conducted by means of SPSS Statistics 18.0 with p≤0.05. From 330 lecturers, there were 153 (46.4%) males and 177 (53.6%) females. The marital status included 257 (77.9%) married, 27 (8.2%) single, while 46 (13.9%) did not answer. The results proved the existence of a correlation between life, stress event, life style, mental emotional disorders, with occupational stress. The spirituality factors contributed to occupational stress were selfworth, control, and connectedness. Lecturer had to cope with occupational stress. There are some factors, which could influence occupational stress among lecturers.
  2. Hidayat T, Ahmad A, Ngo HC
    PeerJ Comput Sci, 2024;10:e1806.
    PMID: 38435549 DOI: 10.7717/peerj-cs.1806
    An implicational base is knowledge extracted from a formal context. The implicational base of a formal context consists of attribute implications which are sound, complete, and non-redundant regarding to the formal context. Non-redundant means that each attribute implication in the implication base cannot be inferred from the others. However, sometimes some attribute implications in the implication base can be inferred from the others together with a prior knowledge. Regarding knowledge discovery, such attribute implications should be not considered as new knowledge and ignored from the implicational base. In other words, such attribute implications are redundant based on prior knowledge. One sort of prior knowledge is a set of constraints that restricts some attributes in data. In formal context, constraints restrict some attributes of objects in the formal context. This article proposes a method to generate non-redundant implication base of a formal context with some constraints which restricting the formal context. In this case, non-redundant implicational base means that the implicational base does not contain all attribute implications which can be inferred from the others together with information of the constraints. This article also proposes a formulation to check the redundant attribute implications and encoding the problem into satisfiability (SAT) problem such that the problem can be solved by SAT Solver, a software which can solve a SAT problem. After implementation, an experiment shows that the proposed method is able to check the redundant attribute implication and generates a non-redundant implicational base of formal context with constraints.
  3. Hidayat T, Arif SM, Samad AA
    Pak J Biol Sci, 2013 Oct 01;16(19):1072-5.
    PMID: 24502175
    The mango (Mangifer indica L.) is an important species of the family Anacardiaceae and is one of the most important crops cultivated commercially in many parts of the world. Hence, a better understanding of the phylogeny in this species is crucial as it is the basis knowledge of improving its genetic resources which is beneficial for breeding programs. Phylogenetic relationships among 13 mango cultivars from Indonesia, Malaysia and Taiwan were carried out by comparing DNA sequence data sets derived from the Internal Transcribed Spacer (ITS) region pfnuclear ribosomal DNA (nrDNA). Analysis using parsimony method showed that the cultivars were classified into three major groups. The first group composed almost Malaysian cultivars although with low bootstrap value, the second group consisted of mainly Taiwan cultivars and the last group included mostly Indonesia one. The results indicated that some cultivars have a close relationships with each other even it is originated from different countries. With regards to the relationship among these cultivars, this gives better insight for generating new cultivar.
  4. Riza LS, Zain MI, Izzuddin A, Prasetyo Y, Hidayat T, Abu Samah KAF
    Heliyon, 2023 Oct;9(10):e20161.
    PMID: 37767518 DOI: 10.1016/j.heliyon.2023.e20161
    The DNA barcoding approach has been used extensively in taxonomy and phylogenetics. The differences in certain DNA sequences are able to differentiate and help classify organisms into taxa. It has been used in cases of taxonomic disputes where morphology by itself is insufficient. This research aimed to utilize hierarchical clustering, an unsupervised machine learning method, to determine and resolve disputes in plant family taxonomy. We take a case study of Leguminosae that historically some classify into three families (Fabaceae, Caesalpiniaceae, and Mimosaceae) but others classify into one family (Leguminosae). This study is divided into several phases, which are: (i) data collection, (ii) data preprocessing, (iii) finding the best distance method, and (iv) determining disputed family. The data used are collected from several sources, including National Center for Biotechnology Information (NCBI), journals, and websites. The data for validation of the methods were collected from NCBI. This was used to determine the best distance method for differentiating families or genera. The data for the case study in the Leguminosae group was collected from journals and a website. From the experiment that we have conducted, we found that the Pearson method is the best distance method to do clustering ITS sequence of plants, both in accuracy and computational cost. We use the Pearson method to determine the disputed family between Leguminosae. We found that the case study of Leguminosae should be grouped into one family based on our research.
  5. Sunjaya DK, Sumintono B, Gunawan E, Herawati DMD, Hidayat T
    Psychol Res Behav Manag, 2022;15:161-170.
    PMID: 35082539 DOI: 10.2147/PRBM.S347386
    BACKGROUND: Regular monitoring of the pandemic's psychosocial impact could be conducted among the community but is limited through online media. This study aims to evaluate the self-rating questionnaire commonly used for online monitoring of the psychosocial implications of the coronavirus disease 2019 (COVID-19) pandemic.

    METHODS: The data were taken from the online assessment results of two groups, with a total of 765 participants. The instruments studied were Self-Rating Questionnaire (SRQ-20), post-traumatic stress disorder (PTSD), and Center for Epidemiological Studies Depression Scale-10 (CESD-10), used in the online assessment. Data analysis used Rasch modeling and Winsteps applications. Validity and reliability were tested, and data were fit with the model, rating scale, and item fit analysis.

    RESULTS: All the scales for outfit mean square (MnSq) were very close to the ideal value of 1.0, and the Chi-square test was significant. Item reliability was greater than 0.67, item separation was greater than 3, and Cronbach's alpha was greater than 0.60; all the instruments were considered very good. The raw variance explained by measures for the SRQ-20, PTSD, and CESD-10 was 30.7%, 41.6%, and 47.6%, respectively. The unexplained eigenvalue variances in the first contrast were 2.3, 1.6, and 2.0 for the SRQ-20, PTSD, and CESD-10, respectively. All items had positive point-measure correlations.

    CONCLUSION: The internal consistency of all the instruments was reliable. Data were fit to the model as the items were productive for measurement and had a reasonable prediction. All the scales are functionally one-dimensional.

  6. Hadibarata T, Teh ZC, Rubiyatno, Zubir MM, Khudhair AB, Yusoff AR, et al.
    Bioprocess Biosyst Eng, 2013 Oct;36(10):1455-61.
    PMID: 23334282 DOI: 10.1007/s00449-013-0884-8
    The use of biomaterials or microorganisms in PAHs degradation had presented an eye-catching performance. Pleurotus eryngii is a white rot fungus, which is easily isolated from the decayed woods in the tropical rain forest, used to determine the capability to utilize naphthalene, a two-ring polycyclic aromatic hydrocarbon as source of carbon and energy. In the meantime, biotransformation of naphthalene to intermediates and other by-products during degradation was investigated in this study. Pleurotus eryngii had been incubated in liquid medium formulated with naphthalene for 14 days. The presence of metabolites of naphthalene suggests that Pleurotus eryngii begin the ring cleavage by dioxygenation on C1 and C4 position to give 1,4-naphthaquinone. 1,4-Naphthaquinone was further degraded to benzoic acid, where the proposed terepthalic acid is absent in the cultured extract. Further degradation of benzoic acid by Pleurotus eryngii shows the existence of catechol as a result of the combination of decarboxylation and hydroxylation process. Unfortunately, phthalic acid was not detected in this study. Several enzymes, including manganese peroxidase, lignin peroxidase, laccase, 1,2-dioxygenase and 2,3-dioxygenase are enzymes responsible for naphthalene degradation. Reduction of naphthalene and the presence of metabolites in liquid medium showed the ability of Pleurotus eryngii to utilize naphthalene as carbon source instead of a limited glucose amount.
  7. Gan GG, Ng DLC, Leong YC, Bee PC, Chin EFM, Abdul Halim H, et al.
    Med J Malaysia, 2019 Jun;74(3):191-197.
    PMID: 31256172
    BACKGROUND: It is not uncommon that anxiety and depression occur in patients with cancers, and past researches have shown that the quality of life of patients is negatively affected. This study aims to determine the prevalence of anxiety and depression of patients with haematological cancers in Malaysia and to investigate the possible association of these psychological symptoms with their quality of life.

    METHODS: This is a cross-sectional study where patients with haematological cancers attending two major hospitals were recruited. Anxiety and depression symptoms were assessed using the Hospital Anxiety and Depression scale (HADS). Quality of life (QoL) of these patients was measured using the European Organisation for Research and Treatment of Cancer quality of life questionnaire (EORTC QLQ C30). An overall summary QoL score in combination with financial difficulty score and global health score were used for analysis.

    RESULTS: A total of 319 patients were recruited. Thirty-three percent of patients had anxiety symptoms, 23.5% had depression symptoms. In summary the overall score of QoL is significantly lower in patients with higher scores for depression and anxiety, (p<0.05). Patients who exhibit anxiety symptoms were more frequently female, still undergoing treatment whereas patients who had higher depression scores were older and had acute leukemias or myeloproliferative neoplasms. Patients who have depression are significantly associated with a higher financial difficulty score, p<0.05.

    CONCLUSION: The poor quality of life in patients who have anxiety and depression should raise awareness amongst the health professions treating them so that additional support can be provided.

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